Enterprises crave the innovation new technologies bring because they know that when technology evolves, they evolve with it. This especially holds true for enterprise software, which is used by all for varying reasons — maintaining customer databases, managing assets, taking care of orders, dealing with finances, and much much more. And as every new year that has come our way, new software is appearing and, along with it, software trends enterprises everywhere are quick to adopt.

For example, the frequent data breaches we’re seeing in the news as of late are pushing enterprises to increase their cybersecurity with new software updates. Similarly, the big leaps we’re making in the realm of artificial intelligence are paving the road for AI derivatives like machine learning and automation, which function to make the enterprise smarter as a whole.

This is all to say that emerging challenges and advancing software are prompting enterprises to exchange the old with the new and follow the new enterprise software trends 2018 will bring. Let’s take a look at some such trends.

Enterprise Software Trends 2018 Will Bring

Personalization

Personalization is becoming more and more important in enterprises because of all the advantages it offers. For example, employees can receive more relevant and tailored information, saving them time as they avoid parsing through irrelevant data they don’t need. Consider a news feed, for instance. Without personalization, there’s no filter separating what’s important to an employee versus what’s not. With personalization, though, they only get what’s relevant; they see exactly what they want to see.

Artificial Intelligence

AI is one of the most popular topics today, and not just for enterprises. In terms of enterprises, though, AI software offers many benefits that come in the form of machine learning and automation. Machine learning, for example, helps in the analyzation of big data, making sense of patterns that can help enterprises make smarter decisions to spur revenue.
In fact, 89% of CIOs are either planning to use or using machine learning in their organizations today, and 90% of those who champion machine learning in their organizations today expect improved decision support that drives greater topline revenue growth. Automation, which is made possible with machine learning, is quickly being adopted by enterprises because it saves them time and money. For instance, when repetitive tasks are automated, employees can devote more time to other pursuits, increasing their productivity.

source: hubspot.com

Cybersecurity

It’s predicted that the global cost of cybercrime will climb to $2 trillion by 2019, almost 4 times the cost in 2015. In 2018, enterprises will use AI to improve cybersecurity. Why? Because machine learning can ‘learn’ from past events. As such, it can help enterprises identify cybersecurity threats. Exemplifying this, 95% of IT security professionals say machine learning is a crucial component of a cybersecurity strategy.

Final Thoughts and TL;DR

Another new year means new and updated enterprise software trends. Here’s the Tl;dr version of what we covered today:
●Enterprises are always quick to adopt new technologies because they provide the means to grow, keep up with competition and surpass them
●This holds true for enterprise software, which is always evolving to handle new challenges and prepare enterprises for the future
●Personalization helps employees see only what they want and need to see, saving valuable time that could be spent performing higher-level tasks than sifting through data
●Artificial intelligence is extremely important for enterprise because it offers many advantages, such as machine learning and automation
●Machine learning aids in the analyzation of big data, and further helps enterprises make sense of patterns that can help them make smarter decisions to spur revenue growth
●Automation is made possible with machine learning and helps increase productivity
●AI, especially machine learning, can be used to improve cybersecurity by ‘learning’ from past events, which then works to identify future threats
Best of luck in 2018!